Assessment of river bank erosion in semi-arid climate regions using remote sensing and GIS data: a case study of Rdat River, Marrakech, Morocco

被引:2
|
作者
Mlouk, M. Ait [1 ]
Algouti, Ab [1 ]
Algouti, Ah [1 ]
Ourhzif, Z. [1 ]
机构
[1] Cadi Ayyad Univ, Fac Sci, Dept Geol Geosci Geotourism, Nat Hazards & Remote Sensing Lab, Bd BO 2390, Marrakech 40000, Morocco
来源
ESTUDIOS GEOLOGICOS-MADRID | 2018年 / 74卷 / 02期
关键词
River; bank height assessment; semi-arid climate; Marrakech; Morocco; SEDIMENT LOADS; CHANNEL CHANGE; MEANDERS;
D O I
10.3989/egeol.43217.493
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Bank erosion is the process of detachment of material grains constituting the banks under the effect of river water during flood events in a fluvial system in semi-arid regions, which are characterized by irregular floods. The phenomenon of river bank erosion has several environmental impacts on the fluvial ecosystem and studies of it are essential. In this context, the purpose of this study is to provide a simple approach to estimate bank heights in order to evaluate the rate of contribution of river bank erosion to the sediment load of the rivers during the last 32 years and its consequences in the fluvial system. The database considered is Landsat images from 1984 to 2016 and the ALOS PALSAR elevation data of Rdat basin, which is located in the southeast of Marrakech in Morocco, as well as field evidence. These data were processed using remote sensing and GIS tools and then combined to improve the results. The obtained results showed that the river bank of Rdat basin is, significantly, unstable and contributes to the supply of sediments to the river, with a river bank retreat rate of 5 m. yr(-1) and an annual volumetric erosion rate of 286.82 m(3) yr(-1) on average. The sediments released in the river, when eroded from banks, may be the origin of contaminated sediments (phosphorus, Mercury ...) as well as the main cause of the filling of the river channel.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Assessment of soil erosion and sediment delivery ratio using remote sensing and GIS:a case study of upstream Chaobaihe River catchment, north China
    Weifeng ZHOU1 and Bingfang WU2 1 Doctor candidate
    [J]. International Journal of Sediment Research, 2008, (02) : 167 - 173
  • [32] Assessment of soil erosion risk in a semi-arid climate watershed using SWAT model: case of Tata basin, South-East of Morocco
    F. Z. Echogdali
    S. Boutaleb
    S. Taia
    M. Ouchchen
    M. Id-Belqas
    R. B. Kpan
    M. Abioui
    J. Aswathi
    K. S. Sajinkumar
    [J]. Applied Water Science, 2022, 12
  • [33] Assessment of soil erosion risk in a semi-arid climate watershed using SWAT model: case of Tata basin, South-East of Morocco
    Echogdali, F. Z.
    Boutaleb, S.
    Taia, S.
    Ouchchen, M.
    Id-Belqas, M.
    Kpan, R. B.
    Abioui, M.
    Aswathi, J.
    Sajinkumar, K. S.
    [J]. APPLIED WATER SCIENCE, 2022, 12 (06)
  • [34] Erosion study of a part of Majuli River-Island using remote sensing data
    Pankaj Mani
    Rakesh Kumar
    C Chatterjee
    [J]. Journal of the Indian Society of Remote Sensing, 2003, 31 (1) : 12 - 18
  • [35] An Assessment of the Hydrological Trends Using Synergistic Approaches of Remote Sensing and Model Evaluations over Global Arid and Semi-Arid Regions
    Li, Wenzhao
    El-Askary, Hesham
    Thomas, Rejoice
    Tiwari, Surya Prakash
    Manikandan, Karuppasamy P.
    Piechota, Thomas
    Struppa, Daniele
    [J]. REMOTE SENSING, 2020, 12 (23) : 1 - 28
  • [36] Analysis of rapid snow and ice cover loss in mountain glaciers of arid and semi-arid regions using remote sensing data
    Motiee, Soroush
    Motiee, Homayoun
    Ahmadi, Azadeh
    [J]. JOURNAL OF ARID ENVIRONMENTS, 2024, 222
  • [37] Risk modelling of soil erosion in semi-arid watershed of Tamil Nadu, India using RUSLE integrated with GIS and Remote Sensing
    P. Sandeep
    K. C. Arun Kumar
    S. Haritha
    [J]. Environmental Earth Sciences, 2021, 80
  • [38] Risk modelling of soil erosion in semi-arid watershed of Tamil Nadu, India using RUSLE integrated with GIS and Remote Sensing
    Sandeep, P.
    Kumar, K. C. Arun
    Haritha, S.
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2021, 80 (16)
  • [39] Groundwater risk intensity mapping in semi-arid regions using optical remote sensing data as an additional tool
    Heike Werz
    Heinz Hötzl
    [J]. Hydrogeology Journal, 2007, 15 : 1031 - 1049
  • [40] Evaluation of the runoff potential in high relief semi-arid regions using remote sensing data: application to Bolivia
    Ouattara, T
    Gwyn, QHJ
    Dubois, JMM
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2004, 25 (02) : 423 - 435